In order to clearly view my screen in this video, make sure you set the quality of the video to HD-720p. The enclosed slides on the theoretical part as well as the derivation is available here
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PCA is a statistical technique that linearly transforms the variables into a new set of uncorrelated variables, while remain the same variation of the original variables.
In this video, I apply and implement one of the oldest statistical techniques in Data Analysis that has been used intensively as an unsupervised Machine Learning, being Principal Component Analysis, known shortly as PCA.
I use Microsoft Excel in order to illustrate the calculations, step by step. The sixteen German states with four variables are the subject of my analysis.
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Note that I used Microsoft Excel 2013 in the presentation. You can download the Excel file using the following link. It also contains an additional macro for the optimisation part that works for newer versions of Excel.
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15 сен 2024